Investment in food supply chain resilience, as a critical infrastructure, has become necessary for all governments. Disruption of food supply chains can lead to significant economic challenges. Building a resilient supply chain requires resources; however, it is difficult for firms to allocate resources to various resilience strategies. This study allocates the budget to resilient capacity, that is, absorptive, adaptive, and restorative capacity, to minimize supply chain costs and maximize service levels. We developed a novel multi-objective mixed-integer nonlinear programming method for problem formulation. The developed model was converted into an equivalent linear model. We used the Monte Carlo approach to generate the scenarios and the average sample approximation to determine the required scenarios. Finally, the Lexicographic max-min approach solves the model using actual data from a dairy supply chain. The analysis revealed that allocating 50% of the budget to restorative capacity and the remaining to adaptive and absorptive capacity optimizes supply chain performance. This study provides insights for managers to make better decisions with a knowledge-based background, allocate resources to various resilient strategies, and build a more resilient and efficient supply chain.
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Manipal Acad Higher Educ, TA Pai Management Inst, Operat & Decis Sci, Manipal 576104, IndiaKing Mongkuts Univ Technol Thonburi, Grad Sch Management & Innovat, Bangkok, Thailand
Kamath, Vasanth
Pazhani, Subramanian
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SAS Inst, Adv Analyt & Optimizat Serv Grp, 100 SAS Campus Dr, Cary, NC 27513 USAKing Mongkuts Univ Technol Thonburi, Grad Sch Management & Innovat, Bangkok, Thailand
Pazhani, Subramanian
Antonio Marmolejo-Saucedo, Jose
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机构:
Univ Panamer, Fac Ingn, Augusto Rodin 498, Ciudad De Mexico 03920, MexicoKing Mongkuts Univ Technol Thonburi, Grad Sch Management & Innovat, Bangkok, Thailand
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Univ Gadjah Mada, Fak Teknik, Dept Mech & Ind Engn, Yogyakarta, Indonesia
Univ Islam Indonesia, Dept Ind Technol, Yogyakarta, IndonesiaUniv Gadjah Mada, Fak Teknik, Dept Mech & Ind Engn, Yogyakarta, Indonesia
Harwati
Asih, Anna Maria Sri
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机构:Univ Gadjah Mada, Fak Teknik, Dept Mech & Ind Engn, Yogyakarta, Indonesia
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O P Jindal Global Univ, Jindal Global Business Sch, Operat Management & Decis Making, Digital Circular Econ Sustainable Dev Goals DCE SD, Haryana, India
Univ Plymouth, Plymouth Business Sch, Plymouth, EnglandMalaviya Natl Inst Technol, Dept Mech Engn, Jaipur, Rajasthan, India
Mangla, Sachin Kumar
Liao, Jiajia
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Guangzhou Coll Commerce, Sch Accounting, Guangzhou 511363, Peoples R ChinaMalaviya Natl Inst Technol, Dept Mech Engn, Jaipur, Rajasthan, India